Kinetic study of the regeneration of spent caustic via the genetic algorithm method

Background: Spent caustic contains noxious components such as sulfide species and also high chemical oxygen demand content (COD). Oxidation of these materials to caustic and sulfate species is mostly the rate-controlling step within catalytic oxidation of spent caustic. Methods: In this study, the...

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Main Authors: Asadollah Karimi, Esmaeil Fatehifar, Reza Alizadeh, Hadi Soltani
Format: Article
Language:English
Published: Kerman University of Medical Sciences 2018-12-01
Series:Environmental Health Engineering and Management
Subjects:
Online Access:http://ehemj.com/article-1-384-en.html
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spelling doaj-6c16ae5e71a74e9cbeaf8343cd28a5272020-11-24T22:17:13ZengKerman University of Medical SciencesEnvironmental Health Engineering and Management2423-37652423-43112018-12-0154231239DOI:10.15171/EHEM.2018.31Kinetic study of the regeneration of spent caustic via the genetic algorithm methodAsadollah Karimi Esmaeil Fatehifar Reza Alizadeh Hadi Soltani Background: Spent caustic contains noxious components such as sulfide species and also high chemical oxygen demand content (COD). Oxidation of these materials to caustic and sulfate species is mostly the rate-controlling step within catalytic oxidation of spent caustic. Methods: In this study, the kinetics of catalytic oxidation of spent caustic and the regeneration methodology of the sulfidic spent caustic were investigated. The kinetics of catalytic oxidation of spent caustic was studied in the presence of a heterogeneous catalyst. The developed mathematical model was verified via the batch bubble column reactor. The elementary and non-elementary models based on the genetic algorithm were used to obtain the rate coefficient and kinetic order. Results: The experiments were carried out at various conditions. The results indicated that the error of objective function of the non-elementary and elementary models was 3.01% and 134.96%, respectively. Conclusion: According to the results, the non-elementary model had rational outcome compared to the elementary one. Also, non-elemental model is more concordance with experimental results.http://ehemj.com/article-1-384-en.htmlCausticKineticRegenerationCatalysis.
collection DOAJ
language English
format Article
sources DOAJ
author Asadollah Karimi
Esmaeil Fatehifar
Reza Alizadeh
Hadi Soltani
spellingShingle Asadollah Karimi
Esmaeil Fatehifar
Reza Alizadeh
Hadi Soltani
Kinetic study of the regeneration of spent caustic via the genetic algorithm method
Environmental Health Engineering and Management
Caustic
Kinetic
Regeneration
Catalysis.
author_facet Asadollah Karimi
Esmaeil Fatehifar
Reza Alizadeh
Hadi Soltani
author_sort Asadollah Karimi
title Kinetic study of the regeneration of spent caustic via the genetic algorithm method
title_short Kinetic study of the regeneration of spent caustic via the genetic algorithm method
title_full Kinetic study of the regeneration of spent caustic via the genetic algorithm method
title_fullStr Kinetic study of the regeneration of spent caustic via the genetic algorithm method
title_full_unstemmed Kinetic study of the regeneration of spent caustic via the genetic algorithm method
title_sort kinetic study of the regeneration of spent caustic via the genetic algorithm method
publisher Kerman University of Medical Sciences
series Environmental Health Engineering and Management
issn 2423-3765
2423-4311
publishDate 2018-12-01
description Background: Spent caustic contains noxious components such as sulfide species and also high chemical oxygen demand content (COD). Oxidation of these materials to caustic and sulfate species is mostly the rate-controlling step within catalytic oxidation of spent caustic. Methods: In this study, the kinetics of catalytic oxidation of spent caustic and the regeneration methodology of the sulfidic spent caustic were investigated. The kinetics of catalytic oxidation of spent caustic was studied in the presence of a heterogeneous catalyst. The developed mathematical model was verified via the batch bubble column reactor. The elementary and non-elementary models based on the genetic algorithm were used to obtain the rate coefficient and kinetic order. Results: The experiments were carried out at various conditions. The results indicated that the error of objective function of the non-elementary and elementary models was 3.01% and 134.96%, respectively. Conclusion: According to the results, the non-elementary model had rational outcome compared to the elementary one. Also, non-elemental model is more concordance with experimental results.
topic Caustic
Kinetic
Regeneration
Catalysis.
url http://ehemj.com/article-1-384-en.html
work_keys_str_mv AT asadollahkarimi kineticstudyoftheregenerationofspentcausticviathegeneticalgorithmmethod
AT esmaeilfatehifar kineticstudyoftheregenerationofspentcausticviathegeneticalgorithmmethod
AT rezaalizadeh kineticstudyoftheregenerationofspentcausticviathegeneticalgorithmmethod
AT hadisoltani kineticstudyoftheregenerationofspentcausticviathegeneticalgorithmmethod
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